Skip to main content

Numerical methods provided to solve different methods in university studies

Project description

PhysicsNum

Physics Numerical methods applied and used during the bachlelor degree in Physics at Lund University. Most notbly is the numerical approximation methods and similar. The code regression works upon least square methods, and weighted least square methods and have been verified. If an issue occurs when using this package, contact via GitHub for a fast solution.

Code

xlist1 = np.array([1,2,3,4,5,6,7,8,9,10])
ylist1 = np.array([4,6,9,10,12,14,16,18,20,21])
Model = ForceLinearreg(xlist1, ylist1)
print(Model)
plt.plot(xlist1, ylist1, '.', label = "DATA")
plt.plot(xlist1, xlist1 * Model[0], '-', label = "Regression")
plt.legend()
plt.show()

Contribute

Feel free to contribute to this code, it is found on Github under the authors name.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PhysicsNum-0.0.7.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

PhysicsNum-0.0.7-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file PhysicsNum-0.0.7.tar.gz.

File metadata

  • Download URL: PhysicsNum-0.0.7.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.6

File hashes

Hashes for PhysicsNum-0.0.7.tar.gz
Algorithm Hash digest
SHA256 e557321a32941827f47867461f18f08af93eeb4cad0e859603ffe633b6d28896
MD5 86d77ab0891d4bfc7c83dbaefc249f4f
BLAKE2b-256 239147382f0c321f8de069ba54dddbe05a49be309be4457136a0fec111d97cdb

See more details on using hashes here.

File details

Details for the file PhysicsNum-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: PhysicsNum-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 5.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.6

File hashes

Hashes for PhysicsNum-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 915bbcdaf8eb611d479e632c8e71a8ed351bb8970d202bf1d578aa0ff21d0328
MD5 0172cc5d79260a9b01c2886e120657d0
BLAKE2b-256 4a1e90c52d8c71569e4d9670d79c97ea8a6090224f0b41b63b16725f5a631b1e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page